package com.itguigu.glimail.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.itguigu.common.to.es.SkuEsModel;
import com.itguigu.common.utils.R;
import com.itguigu.glimail.search.config.GlimailElasticSearchConfiguration;
import com.itguigu.glimail.search.constant.EsConstant;
import com.itguigu.glimail.search.feign.ProductFeignService;
import com.itguigu.glimail.search.service.MailService;
import com.itguigu.glimail.search.vo.AttrResponseVo;
import com.itguigu.glimail.search.vo.BrandVo;
import com.itguigu.glimail.search.vo.SearchParam;
import com.itguigu.glimail.search.vo.SearchResult;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

@Service
public class MailServiceImpl implements MailService {
    @Autowired
    private RestHighLevelClient client;
    @Autowired
    private ProductFeignService productFeignService;
    @Value("${nav.url}")
    private String navUrl;

    @Override
    public SearchResult search(SearchParam searchParam) {
        //动态构建出查询需要的DSL语句
        SearchResult result = null;
        //准备检索请求
//        SearchRequest searchRequest = new SearchRequest();
        SearchRequest searchRequest = buildSearchRequest(searchParam);
        try {
            //执行检索请求
            SearchResponse response = client.search(searchRequest, GlimailElasticSearchConfiguration.COMMON_OPTIONS);
            //分析响应数据,封装成我们需要的格式
            result = buildSearchResult(response, searchParam);
        } catch (IOException e) {
            e.printStackTrace();
        }

        return result;
    }

    /**
     * 构建结果
     *
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {
        SearchResult result = new SearchResult();
        //返回所有查询到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> skuEsModelList = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {

            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);

                }
                skuEsModelList.add(esModel);
            }
        }

        result.setProducts(skuEsModelList);
        //当前商品所有涉及到的属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            //得到属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            //得到属性的所有值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = ((Terms.Bucket) item).getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);

            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);

        //        当前商品所有涉及到的分类
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);


            catalogVos.add(catalogVo);
        }

        result.setCatalogs(catalogVos);

        //当前商品所有涉及到的品牌
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //得到品牌的id
            long brandId = bucket.getKeyAsNumber().longValue();

            //得到品牌的名字
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();

            //得到品牌的图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
        //+++++++++++++以上从聚合信息获取++++++++++++++
        //当前商品所有涉及到的分页信息

        result.setPageNum(param.getPageNum());
        //分页信息总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        //分页信息总页码 计算
        int totalPages = (int) total % EsConstant.PRODUCT_PAGESIZE == 0 ? (int) total / EsConstant.PRODUCT_PAGESIZE : (int) (total / EsConstant.PRODUCT_PAGESIZE + 1);
        result.setTotalPages(totalPages);
        List<Integer> pageNavs = new ArrayList<>();

        for (int i = 1; i <= totalPages; i++) {
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);
        //构建面包屑导航功能
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {


            List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                String[] split = attr.split("_");
                navVo.setNavValue(split[1]);
                R r = productFeignService.attrInfo(Long.parseLong(split[0]));
                result.getAttrIds().add(Long.parseLong(split[0]));
                if (r.getCode() == 0) {
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                } else {
                    navVo.setNavName(split[0]);
                }
                //取消面包屑以后 我们要跳转到哪个地方 ,将请求地址的url里面的当前值置空
                //拿到当前所有的查询条件,去掉当前
                String replace = replaceQueryString(param, attr, "attrs");
                navVo.setLink(navUrl + replace);
                return navVo;
            }).collect(Collectors.toList());
            result.setNavs(collect);
        }
        //品牌  分类加入到面包屑
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            List<SearchResult.NavVo> navs = result.getNavs();
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            navVo.setNavName("品牌");
            //todo 远程查询所有品牌
            R r = productFeignService.brandsInfo(param.getBrandId());
            if (r.getCode()==0) {
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer buffer = new StringBuffer();
                String replace = "";


                for (BrandVo brandVo : brand) {
                    buffer.append(brandVo.getBrandName() + ";");
                    replace = replaceQueryString(param, brandVo.getBrandId() + "", "brandId");
                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink(navUrl + replace);
            }
            navs.add(navVo);
        }
        // TODO: 2020/7/9 分类 不需要导航取消
        return result;
    }

    private String replaceQueryString(SearchParam param, String value,String key) {
        String encode = null;
        try {
            encode = URLEncoder.encode(value, "UTF-8");
            encode = encode.replace("+", "%20");
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        return param.get_queryString().replace("&"+key+"=" + encode, "");
    }

    /**
     * 准备检索请求
     * 模糊匹配 过滤(按照属性, 分类, 品牌, 价格区间, 库存), 排序 分页 高亮  聚合分析
     *
     * @return
     */
    private SearchRequest buildSearchRequest(SearchParam param) {
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();//构建dsl语句的
        //模糊匹配 过滤(按照属性, 分类, 品牌, 价格区间, 库存)
        //构建bool-query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //1.1 must-模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        //1.2 bool-filter 按照三级分类id查询
        if (param.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        //1.2 bool-filter 按照品牌id查询
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            boolQuery.filter(QueryBuilders.termsQuery("branId", param.getBrandId()));
        }
        //1.2 bool-filter 按照所有指定的属性进行查询 todo
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {

            //attrs=1_5寸:8寸&attrs=2_16G:8G
            for (String attr : param.getAttrs()) {
                BoolQueryBuilder nestedBoolQuery = QueryBuilders.boolQuery();
                String[] split = attr.split("_");
//attrs=1_5寸:8寸
                String attrId = split[0];
                String[] attrValues = split[1].split(":");
                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedBoolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                //每一个必须都得生成一个nested查询
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedBoolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }
        }
        //1.2 bool-filter 按照是否有库存
        if (param.getHasStock() != null) {

//            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
        }
        //1.2 bool-filter 按照价格区间   1_500 _500 500_
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            boolQuery.filter(rangeQuery);
            String[] split = param.getSkuPrice().split("_");
            if (split.length == 2) {
                //区间
                rangeQuery.gte(split[0]).lte(split[1]);

            } else if (split.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(split[0]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.lte(split[0]);
                }

            }

        }
        //把以前的所有条件都拿来进行封装
        searchSourceBuilder.query(boolQuery);

        //排序 分页 高亮
        if (!StringUtils.isEmpty(param.getSort())) {
            //sort=hotScore_ace/desc
            String sort = param.getSort();
            String[] split = sort.split("_");
            SortOrder sortOrder = split[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            searchSourceBuilder.sort(split[0], sortOrder);
        }
        //分页
        searchSourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE);
        searchSourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
        //高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            searchSourceBuilder.highlighter(builder);
        }
        //聚合分析
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
        //品牌聚合的子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName")).size(1);
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg")).size(1);
        //TODO 1. 聚合品牌
        searchSourceBuilder.aggregation(brand_agg);
        //分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        //TODO 聚合分类的
        searchSourceBuilder.aggregation(catalog_agg);

        //属性聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //聚合当前所有的attr_id
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //聚合当前attr_id的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //聚合分析当前的attrId对应的可能属性值attrValue
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);
        //TODO 聚合属性
        searchSourceBuilder.aggregation(attr_agg);

        String s = searchSourceBuilder.toString();
        System.err.println("DSL:" + s);

        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, searchSourceBuilder);
        return searchRequest;
    }
}
